Job description
WE ARE HIRING: Lead AI Engineer
Location: Remote (Sri Lanka)
Employment Type: Full Time
Industry: Artificial Intelligence / Analytics Platform / SaaS Technology
Role Overview
We are seeking an experienced Lead AI Engineer to drive the technical direction of a cutting-edge AI-powered analytics platform that enables business users to gain insights from enterprise data through natural language queries. This is a hands-on leadership role responsible for designing and developing the AI core, agent architecture, knowledge systems, evaluation frameworks, and predictive intelligence capabilities that power enterprise-grade AI solutions.
Key Responsibilities
Build and enhance the agent runtime and orchestration framework for complex multi-step business analysis.
Design systems that plan investigations, execute parallel queries, coordinate specialized AI agents, and generate actionable insights.
Own natural language to SQL and DAX query generation capabilities across enterprise data environments.
Develop deterministic query generation patterns and governed metric layers to ensure accuracy and reliability.
Design and maintain ontologies, knowledge graphs, semantic layers, and retrieval systems that power AI reasoning.
Develop anomaly detection, clustering, forecasting, and recommendation capabilities to proactively deliver business insights.
Optimize AI systems for performance, scalability, cost efficiency, and responsiveness.
Implement model tiering, prompt optimization, caching strategies, streaming responses, and parallel processing techniques.
Develop evaluation frameworks, testing processes, release gates, and experimentation methodologies for AI systems.
Ensure AI security through row-level access controls, prompt injection defenses, schema pruning, and tool governance.
Support rapid onboarding of new business domains through configurable AI frameworks.
Provide technical leadership while remaining actively involved in hands-on engineering and problem solving.
Candidate Profile
Strong track record in AI Engineering with recent experience delivering production-grade LLM-based systems.
Hands-on expertise building agentic AI systems including orchestration, tool usage, structured outputs, and multi-step planning.
Strong SQL skills and deep understanding of enterprise data warehouses.
Experience troubleshooting and optimizing AI-generated outputs across prompts, queries, and data schemas.
Experience building ontologies, knowledge graphs, semantic layers, or retrieval-augmented systems.
Proven success designing evaluation frameworks for non-deterministic AI systems.
Experience developing predictive analytics solutions including anomaly detection, clustering, and forecasting.
Strong software engineering skills with production-grade Python development.
Experience building asynchronous services, streaming APIs, and scalable AI architectures.
Ability to define technical strategy while remaining actively involved in implementation.
Preferred Skills
Microsoft Fabric, Power BI, and DAX.
Azure ecosystem experience.
Vector databases such as pgvector.
LLM observability and AI cost optimization tools.
Multi-tenant SaaS platform experience.
TypeScript knowledge.
Experience working within early-stage product environments.
What We Offer
Opportunity to work on advanced AI and agentic systems solving real enterprise challenges.
Remote-first working environment with a highly experienced senior team.
Direct interaction with clients and exposure to complex business problems.
Significant influence over product direction and technical architecture.
Exposure to cutting-edge AI technologies and enterprise-scale deployments.
Ready to take your career to new heights?
We're InTalent Asia, your go-to recruitment partner in Sri Lanka, and we've got an exciting opportunity for you!
Our client is looking for a skilled individual to fill the role of Lead AI Engineer.
Apply now and see how you can be the perfect fit for this exclusive position!
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Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.